This chapter explores the production of the future. How do meteorologists create forecasts to contain uncertainty? Meteorologists rely on gathered data in conjunction with models that provide a ...
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This chapter explores the production of the future. How do meteorologists create forecasts to contain uncertainty? Meteorologists rely on gathered data in conjunction with models that provide a theoretical infrastructure. This affects the data to be collected. But if this was all that was necessary, forecasters would not be needed, so humans carve out a domain of personal expertise, selecting among alternate models, doubting the adequacy of data, and then adding their own experience. Armed with data, theory, and experience, the organization provides legitimacy that is crucial for the presentation of these public predictions. Meteorologists, like other future workers, are authorized to predict by their sponsors. They are mandated to colonize the future.Less

Futurework

Gary Alan Fine

Published in print: 2007-06-01

This chapter explores the production of the future. How do meteorologists create forecasts to contain uncertainty? Meteorologists rely on gathered data in conjunction with models that provide a theoretical infrastructure. This affects the data to be collected. But if this was all that was necessary, forecasters would not be needed, so humans carve out a domain of personal expertise, selecting among alternate models, doubting the adequacy of data, and then adding their own experience. Armed with data, theory, and experience, the organization provides legitimacy that is crucial for the presentation of these public predictions. Meteorologists, like other future workers, are authorized to predict by their sponsors. They are mandated to colonize the future.

New technologies like artificial intelligence, robotics, machine intelligence, and the Internet of Things are seeing repetitive tasks move away from humans to machines. Humans cannot become machines, ...
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New technologies like artificial intelligence, robotics, machine intelligence, and the Internet of Things are seeing repetitive tasks move away from humans to machines. Humans cannot become machines, but machines can become more human-like. The traditional model of educating workers for the workforce is fast becoming irrelevant. There is a massive need for the retooling of human workers. Humans need to be trained to remain focused in a society which is constantly getting bombarded with information. The two basic elements of physical and mental capacity are slowly being taken over by machines and artificial intelligence. This changes the fundamental role of the global workforce.Less

Mahesh K. JoshiJ.R. Klein

Published in print: 2018-08-16

New technologies like artificial intelligence, robotics, machine intelligence, and the Internet of Things are seeing repetitive tasks move away from humans to machines. Humans cannot become machines, but machines can become more human-like. The traditional model of educating workers for the workforce is fast becoming irrelevant. There is a massive need for the retooling of human workers. Humans need to be trained to remain focused in a society which is constantly getting bombarded with information. The two basic elements of physical and mental capacity are slowly being taken over by machines and artificial intelligence. This changes the fundamental role of the global workforce.